Introdução¶
📘 Sobre este Estudo¶
Este notebook foi elaborado com fins didáticos e demonstrativos para mostrar como aplicar técnicas de inferência estatística, utilizando tanto métodos clássicos (paramétricos) quanto computacionais (como bootstrap e testes de aleatorização).
🛒 Contexto do Problema¶
A empresa fictícia RetailX, uma varejista digital, lançou uma campanha para testar o impacto de diferentes estratégias promocionais sobre o comportamento de seus clientes. A empresa está especialmente interessada em entender:
- Se as campanhas aumentam o engajamento no site
- Se as campanhas influenciam a taxa de conversão (compra)
- Se há impacto no valor total gasto
Para isso, um experimento foi conduzido com quatro grupos de clientes, atribuídos aleatoriamente.
🎯 Objetivo do Estudo¶
Avaliar se diferentes tipos de campanha geram diferenças estatisticamente significativas em:
- Taxa de conversão (realizou compra ou não)
- Valor de compra (gasto em reais)
- Número de visitas ao site (antes e depois da campanha)
🧾 Descrição das Variáveis¶
| Variável | Tipo | Descrição |
|---|---|---|
grupo |
Categórica | Campanha recebida pelo cliente: • A: grupo controle (não recebeu estímulo)• B: cupom de desconto• C: frete grátis• D: cashback |
evento |
Binária | Indicador de conversão: o cliente realizou uma compra? (1 = sim, 0 = não) |
score |
Contínua | Valor total gasto pelo cliente (em reais) durante o período da campanha |
pre_treinamento |
Contínua | Número de visitas ao site antes da campanha |
pos_treinamento |
Contínua | Número de visitas ao site após a campanha |
🧠 O que significa “grupo controle”?¶
O grupo controle (grupo = A) é formado por clientes que não receberam nenhuma campanha promocional. Esse grupo serve como referência neutra, permitindo que possamos comparar com os demais grupos e isolar o efeito da campanha.
Exemplo: Se o grupo B (cupom) tiver maior conversão do que o grupo A (controle), é possível afirmar com maior confiança que o cupom teve impacto real — desde que a diferença seja estatisticamente significativa.
Análises¶
0. Setup¶
# SETUP
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm, t, f, chi2
# LOAD: A base já está sanitizada.
base = pd.read_excel("dados/base_retailx.xlsx")
base.head()
| grupo | evento | score | pre_treinamento | pos_treinamento | |
|---|---|---|---|---|---|
| 0 | A | 0 | 0.00 | 6 | 6 |
| 1 | A | 1 | 70.68 | 4 | 4 |
| 2 | A | 1 | 60.23 | 6 | 6 |
| 3 | A | 1 | 102.16 | 8 | 8 |
| 4 | A | 0 | 0.00 | 1 | 2 |
1. Construa um intervalo de confiança de 95% para estimar a proporção de clientes que realizaram compra.¶
# Variável observada
X = base["evento"].values
# Tamanho da amostra
n = X.shape[0]
# Proporção amostral observada
p_obs = X.mean()
print(f"n = {n}")
print(f"p_obs = {np.round(p_obs, 2)}")
n = 300 p_obs = 0.57
Modelo Paramétrico¶
# Melhor estimativa para p
p = p_obs
# Validação de aproximação pela normal
print((n*p >= 10) & (n*(1-p) >= 10))
True
# Erro Padrão
SE = np.sqrt(p*(1-p)/n)
print(f"SE = {np.round(SE, 2)}")
SE = 0.03
# Obtenção do Zc
gama = .95
q = (1- gama)/2 + gama
Zc = norm.ppf(q=q)
print(f"Zc = {np.round(Zc, 2)}")
Zc = 1.96
# Intervalo de confiança
p0 = p_obs - Zc*SE
p1 = p_obs + Zc*SE
print(f"IC = [{np.round(p0, 2)}, {np.round(p1, 2)}]")
print(f"IC = {np.round(p_obs, 2)} +- {np.round(Zc, 2)} * {np.round(SE, 2)}")
IC = [0.51, 0.62] IC = 0.57 +- 1.96 * 0.03
Conclusão
Temos 95% de confiança de que o verdadeiro valor da proporção populacional (p) está entre 51% e 62%. Em outras palavras, acreditamos com 95% de confiança que a taxa de conversão dos clientes dessa loja se encontra nesse intervalo.
Essa confiança não deve ser interpretada como a probabilidade de que este intervalo específico contenha (p), pois o valor de (p) é fixo (embora desconhecido), e o intervalo é aleatório.
A interpretação correta é: Se repetíssemos esse mesmo processo de amostragem e construção de intervalo muitas vezes, em 95% dos casos os intervalos obtidos conteriam o verdadeiro valor de (p).
Portanto, com base nessa confiança no processo, podemos selecionar este único intervalo e afirmar com 95% de confiança que o verdadeiro valor de (p) está entre 51% e 62%.
Modelo Computacional¶
Bootstrapping é um método de reamostragem que assume que a amostra observada é representativa da população.
- Gera muitas amostras com reposição a partir da amostra original
- Calcula a estatística de interesse em cada amostra
- Obtém a distribuição bootstrap dessa estatística
Premissas:
- Amostra representativa
- Observações independentes e identicamente distribuídas (i.i.d.)
Procedimento:
- Sortear B amostras de tamanho n com reposição
- Calcular a estatística em cada amostra
- Usar a distribuição resultante para inferência
Escolhas práticas:
- B grande (ex.: 1.000–10.000)
- Manter n igual ao tamanho da amostra original
Limitação:
- Se a amostra não for representativa, o bootstrap herda o viés
# Remostragem bootstrap
def bootstrap_resample(X):
# amostra bootstrap do mesmo tamanho de X
return np.random.choice(X, size=len(X), replace=True)
# Distribução
dist_boot = []
# Obtenção da distribuição bootstrap
for _ in range(10_000):
# Reamostragem
X_boot = bootstrap_resample(X)
# Estatística de interese
dist_boot.append(X_boot.mean())
dist_boot = np.array(dist_boot)
# Erro Padrão
SE = dist_boot.std(ddof=1)
print(f"SE = {np.round(SE, 2)}")
SE = 0.03
# Intervalo de confiança
p0 = np.quantile(dist_boot, (1 - gama)/2)
p1 = np.quantile(dist_boot, 1 - (1 - gama)/2)
print(f"IC = [{np.round(p0, 2)}, {np.round(p1, 2)}]")
IC = [0.51, 0.62]
2. Podemos afirmar que a taxa de conversão dos clientes é superior que 50%?¶
Hipóteses do Teste
- H₀ (Hipótese nula): A taxa de conversão na população não é superior a 50%. O valor observado pode ser explicado apenas pela variabilidade amostral (acaso na seleção da amostra).
- H₁ (Hipótese alternativa): A taxa de conversão na população é superior a 50%.
Notação formal:
- H₀: p = po | (po = 50%)
- H₁: p > po
Modelo Paramétrico¶
# Nível de significância do teste
alpha = .05
print(f"alpha = {np.round(alpha, 2)}")
alpha = 0.05
# Distribuição sob H0
po = .5
print(f"p0 = {np.round(po, 2)}")
p0 = 0.5
# Validação de aproximação pela normal
print((n*p0 >= 10) & (n*(1-p0) >= 10))
True
# Padronizando o valor observado
Z_obs = (p_obs - po)/np.sqrt(po*(1-po)/n)
print(f"Z_obs = {np.round(Z_obs, 2)}")
Z_obs = 2.31
# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
p_value = 1 - norm.cdf(Z_obs)
# Decisão
if p_value < alpha:
print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")
p-valor = 0.01 < α = 0.05 → Rejeitamos H0
Conclusão
- Ao nível de significância de 5% (probabilidade de rejeitar incorretamente a hipótese nula), temos evidência suficiente para rejeitar H₀ em favor de H₁.
Com isso, concluímos que a taxa de conversão dos clientes é superior a 50%.
Modelo Computacional¶
Aqui podemos utilizar o bootstrap para criar a distribuição sob $H_0$, ou seja, gerar uma distribuição amostral da proporção a partir de uma população com $p = 0{,}5$, por meio da reamostragem com reposição de uma amostra inicial simulada de tamanho $n$ cuja proporção amostral ($p_{\text{amostral}}$) é igual a $0{,}5$.
# Criando amostra simulada com p_amostral = 0,5
X_sim = np.array([0]*int(n/2) + [1]*int(n/2))
X_sim
array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
# Distribuição sob Ho
dist_boot = []
# Obtenção da distribuição bootstrap
for _ in range(10_000):
# Reamostragem
X_boot = bootstrap_resample(X_sim)
# Estatística de interese
dist_boot.append(X_boot.mean())
dist_boot = np.array(dist_boot)
# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
p_value = (dist_boot >= p_obs).mean()
# Decisão
if p_value < alpha:
print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")
p-valor = 0.01 < α = 0.05 → Rejeitamos H0
3. Construa um intervalo de confiança de 95% para estimar a diferença na taxa de conversão entre os grupos B e D.¶
# Grupo B: Teve cupom de desconto
# Variável observada
XB = base.loc[(base["grupo"] == "B"), "evento"].values
# Tamanho da amostra
nB = XB.shape[0]
# Proporção amostral observada
pB_obs = XB.mean()
print(f"nB = {nB}")
print(f"pB_obs = {np.round(pB_obs, 2)}")
nB = 75 pB_obs = 0.63
# Grupo D: Teve cashback
# Variável observada
XD = base.loc[(base["grupo"] == "D"), "evento"].values
# Tamanho da amostra
nD = XD.shape[0]
# Proporção amostral observada
pD_obs = XD.mean()
print(f"nD = {nD}")
print(f"pD_obs = {np.round(pD_obs, 2)}")
nD = 75 pD_obs = 0.61
# Diferença observada
diff_B_D_obs = pB_obs - pD_obs
print(f"diff_B_D_obs = {np.round(diff_B_D_obs, 2)}")
diff_B_D_obs = 0.01
Modelo Paramétrico¶
# Melhor estimativa para pB
pB = pB_obs
# Validação de aproximação pela normal
print((nB*pB >= 10) & (nB*(1-pB) >= 10))
True
# Melhor estimativa para pD
pD = pD_obs
# Validação de aproximação pela normal
print((nD*pD >= 10) & (nD*(1-pD) >= 10))
True
# Erro Padrão
SE = np.sqrt(pB*(1-pB)/nB + pD*(1-pD)/nD)
print(f"SE = {np.round(SE, 2)}")
SE = 0.08
# Obtenção do Zc
gama = .95
q = (1- gama)/2 + gama
Zc = norm.ppf(q=q)
print(f"Zc = {np.round(Zc, 2)}")
Zc = 1.96
# Intervalo de confiança
d0 = diff_B_D_obs - Zc*SE
d1 = diff_B_D_obs + Zc*SE
print(f"IC = [{np.round(d0, 2)}, {np.round(d1, 2)}]")
print(f"IC = {np.round(diff_B_D_obs, 2)} +- {np.round(Zc, 2)} * {np.round(SE, 2)}")
IC = [-0.14, 0.17] IC = 0.01 +- 1.96 * 0.08
Conclusão
- Com 95% de confiança, estimamos que a diferença populacional nas taxas de conversão entre os grupos B e D (pB - pD) esteja entre -14 p.p. e 17 p.p.
- Em outras palavras, acreditamos que a taxa de conversão do grupo B pode ser até 14 pontos percentuais menor ou até 17 pontos percentuais maior do que a do grupo D.
Modelo Computacional¶
bootstrap
# Distribução
dist_boot = []
# Obtenção da distribuição bootstrap
for _ in range(10_000):
# Reamostragem
XB_boot = bootstrap_resample(XB)
XD_boot = bootstrap_resample(XD)
# Estatística de interese
dist_boot.append(XB_boot.mean() - XD_boot.mean())
dist_boot = np.array(dist_boot)
# Erro Padrão
SE = dist_boot.std(ddof=1)
print(f"SE = {np.round(SE, 2)}")
SE = 0.08
# Intervalo de confiança
d0 = np.quantile(dist_boot, (1 - gama)/2)
d1 = np.quantile(dist_boot, 1 - (1 - gama)/2)
print(f"IC = [{np.round(d0, 3)}, {np.round(d1, 3)}]")
IC = [-0.147, 0.173]
4. Podemos concluir que a taxa de conversão nos grupos B e D são diferentes?¶
O resultado apresentado no item 3 já responde à pergunta: com 95% de confiança, estimamos que a diferença populacional nas taxas de conversão entre os grupos B e D (pB - pD) esteja entre -14 p.p. e 17 p.p.
Como esse intervalo inclui o valor 0, não temos evidência estatística suficiente para concluir que existe uma diferença significativa entre as taxas de conversão dos dois grupos, ao nível de significância de 5%.
Além disso, a realização de um teste de hipótese formal para a diferença entre proporções levaria à mesma conclusão, reforçando que não há evidência de diferença estatisticamente significativa — o que faremos na sequência.
Hipóteses do Teste
- H₀ (Hipótese nula): Não há diferença na taxa de conversão entre os grupos B e D. A diferença observada pode ser atribuída à variabilidade amostral (isto é, ao acaso na seleção da amostra).
- H₁ (Hipótese alternativa): Existe uma diferença real entre as taxas de conversão dos grupos B e D.
Notação formal:
- H₀: pB - pD = do | (do = 0)
- H₁: pB - pD != do
Modelo Paramétrico¶
# Nível de significância do teste
alpha = .05
print(f"alpha = {np.round(alpha, 2)}")
alpha = 0.05
# Distribuição sob H0
po = (nB * pB_obs + nD * pD_obs) / (nB + nD)
print(f"p0 = {np.round(po, 2)}")
p0 = 0.62
# Validação de aproximação pela normal
print((nB*p0 >= 10) & (nB*(1-p0) >= 10))
print((nD*p0 >= 10) & (nD*(1-p0) >= 10))
True True
# Padronizando o valor observado
Z_obs = (pB_obs - pD_obs)/np.sqrt((po*(1-po)/nB) + (po*(1-po)/nD))
print(f"Z_obs = {np.round(Z_obs, 2)}")
Z_obs = 0.17
# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
p_value = norm.cdf(-Z_obs) + (1 - norm.cdf(Z_obs))
# Decisão
if p_value < alpha:
print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")
p-valor = 0.87 ≥ α = 0.05 → Não rejeitamos H0
Conclusão
- Ao nível de significância de 5%, não encontramos evidência estatística suficiente para rejeitar H₀ em favor de H₁.
Com isso, não podemos concluir que exista diferença significativa nas taxas de conversão entre os grupos B e D.
Modelo Computacional¶
Aqui podemos utilizar uma técnica computacional chamada Randomization Test para construir uma distribuição amostral das diferenças das proporções entre os grupos B e D, sob a condição de $H_{0}$ verdadeiro.
Sob $H_{0}$ verdadeiro, assumimos que tanto B quanto D provêm da mesma população, ou seja, não há diferença na proporção obtida nesses dois grupos.
Uma forma de simular esse cenário é: a partir da amostra original de B e D, embaralhar todos os elementos e, supondo que não há diferença entre os grupos, selecionar sem reposição e de forma aleatória um pseudo-grupo B e um pseudo-grupo D. Em seguida, calcular a estatística de interesse para esses pseudo-grupos.
Repetindo esse processo muitas vezes, obtemos uma distribuição da estatística sob $H_{0}$.
data = base.loc[(base["grupo"] == "B") |(base["grupo"] == "D"), ["evento", "grupo"]].reset_index(drop=True)
X = data["grupo"].values
Y = data["evento"].values
# Randomization test:
def randomization_resample(X:np.array, Y:np.array) -> pd.DataFrame:
arr = np.random.permutation(Y)
shuffled_data = pd.DataFrame(columns=["X", "Y"])
labels, ns = np.unique(X, return_counts=True)
for label, n in zip(labels, ns):
aux = pd.DataFrame({
"X": [label] * n,
"Y": arr[:n]
})
shuffled_data = pd.concat([shuffled_data, aux], axis=0)
arr = arr[n:]
return shuffled_data.reset_index(drop=True)
# Distribuição sob Ho
dist_rand_test = []
# Obtenção da distribuição bootstrap
for _ in range(10_000):
# Reamostragem
shuffled_data = randomization_resample(X, Y)
# Estatística de interese
dist_rand_test.append(
shuffled_data.loc[shuffled_data["X"] == "B", "Y"].mean()
-
shuffled_data.loc[shuffled_data["X"] == "D", "Y"].mean()
)
dist_rand_test = np.array(dist_rand_test)
# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
p_value = (np.abs(dist_rand_test) >= np.abs(pB_obs - pD_obs)).mean()
# Decisão
if p_value < alpha:
print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")
p-valor = 1.00 ≥ α = 0.05 → Não rejeitamos H0
5. A taxa de conversão (evento) está associada ao tipo de campanha (grupo)?¶
Modelo Paramétrico¶
# Resultado Observado
Y = base["evento"].values
X = base["grupo"].values
obs = pd.crosstab(X, Y)
obs
| col_0 | 0 | 1 |
|---|---|---|
| row_0 | ||
| A | 40 | 35 |
| B | 28 | 47 |
| C | 33 | 42 |
| D | 29 | 46 |
# Resultado Esperado se X e Y não possuem relação
# Fração 0's e 1's geral
frac = (obs.sum()/obs.sum().sum()).values.reshape(1,2)
# Soma por linha
sum_by_row = obs.sum(axis=1).values.reshape(4,1)
# Esperado
exp = pd.DataFrame(np.matmul(sum_by_row, frac))
exp
| 0 | 1 | |
|---|---|---|
| 0 | 32.5 | 42.5 |
| 1 | 32.5 | 42.5 |
| 2 | 32.5 | 42.5 |
| 3 | 32.5 | 42.5 |
# X2 observado
obs = obs.values
exp = exp.values
X2_obs = (((obs - exp)**2)/exp).sum()
print(f"X2_obs = {np.round(X2_obs, 2)}")
X2_obs = 4.83
Hipóteses do Teste (Qui-quadrado de independência)
- H₀ (Hipótese nula): Não há associação entre a taxa de conversão e o tipo de campanha. A diferença observada pode ser explicada apenas pela variabilidade amostral (isto é, pelo acaso).
- H₁ (Hipótese alternativa): Existe uma associação entre a taxa de conversão e o tipo de campanha.
# Construção da distribuição sob H0: Como as premissas abaixo são satisfeitas, podemos avaliar qual a probabilidade do acaso
# produzir um valor tão extremo quanto X2_obs em uma distribuição Qui Quadrado (variáveis sem relação)
# a. As observações são independentes
# b. Supondo que não haja relação entre as variáveis
# c. Pelo menos 80% das células da tabela esperada possuem valores >= 5
# d. Nenhuma célula com valor esperado < 1
# Graus de liberdade
r = obs.shape[0]
c = obs.shape[1]
df = (r - 1) * (c - 1)
print(f"df = {np.round(df, 2)}")
# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
# P(X2 >= X2_obs)
p_value = 1 - chi2.cdf(X2_obs, df)
# Decisão
if p_value < alpha:
print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")
df = 3 p-valor = 0.18 ≥ α = 0.05 → Não rejeitamos H0
Conclusão
- Ao nível de significância de 5%, não encontramos evidência estatística suficiente para rejeitar H₀ em favor de H₁.
Dessa forma, não há evidência de associação entre a ocorrência do evento (ex: conversão) e o tipo de campanha aplicada.
Modelo Computacional¶
Randomization Test
Y = base["evento"].values
X = base["grupo"].values
# Distribuição sob Ho
dist_rand_test = []
# Cálculo do Qui Quadrado
def chi2(X: np.array, Y: np.array):
# Observado
obs = pd.crosstab(Y, X)
nrows_obs = obs.shape[0]
ncols_obs = obs.shape[1]
# Resultado Esperado se X e Y não possuem relação
# Fração 0's e 1's geral
frac = (obs.sum()/obs.sum().sum()).values.reshape(1,ncols_obs)
# Soma por linha
sum_by_row = obs.sum(axis=1).values.reshape(nrows_obs,1)
# Esperado
exp = pd.DataFrame(np.matmul(sum_by_row, frac))
exp
# X2 observado
obs = obs.values
exp = exp.values
X2_obs = (((obs - exp)**2)/exp).sum()
return X2_obs
# Obtenção da distribuição bootstrap
for _ in range(10_000):
# Reamostragem
shuffled_data = randomization_resample(X, Y)
# Estatística de interese
dist_rand_test.append(chi2(shuffled_data["X"], shuffled_data["Y"]))
dist_rand_test = np.array(dist_rand_test)
# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
# P(X2 >= X2_obs)
p_value = (dist_rand_test >= X2_obs).mean()
# Decisão
if p_value < alpha:
print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")
p-valor = 0.19 ≥ α = 0.05 → Não rejeitamos H0
p_value
0.1881
6. Construa um intervalo de confiança de 95% para estimar o valor médio de compra (score) de todos os clientes.¶
# Variável observada: Somente clientes que realizaram alguma compra
X = base.loc[base["evento"] == 1, "score"].values
# Tamanho da amostra
n = X.shape[0]
# Média amostral observada
x_obs = X.mean()
# Desvio padrão amostral
s = X.std(ddof=1)
print(f"n = {n}")
print(f"x_obs = {np.round(x_obs, 2)}")
print(f"s = {np.round(s, 2)}")
n = 170 x_obs = 77.16 s = 13.52
Modelo Paramétrico¶
# Quando o tamanho da amostra é grande, o Teorema Central do Limite permite aproximar a distribuição da média amostral por uma normal.
# No entanto, como a variância populacional é desconhecida, usamos a variância amostral como estimativa.
# Isso introduz variabilidade adicional na estatística de teste, razão pela qual usamos a distribuição t de Student em vez da normal padrão.
# Erro Padrão
SE = np.sqrt((s**2)/n)
print(f"SE = {np.round(SE, 2)}")
# Obtenção do tc
gama = .95
q = (1- gama)/2 + gama
df = n -1
tc = t.ppf(df = df, q=q)
print(f"tc = {np.round(tc, 2)}")
# Intervalo de confiança
x0 = x_obs - tc*SE
x1 = x_obs + tc*SE
print(f"IC = [{np.round(x0, 2)}, {np.round(x1, 2)}]")
print(f"IC = {np.round(x_obs, 2)} +- {np.round(tc, 2)} * {np.round(SE, 2)}")
SE = 1.04 tc = 1.97 IC = [75.11, 79.21] IC = 77.16 +- 1.97 * 1.04
Conclusão
- Temos 95% de confiança de que o verdadeiro valor do score populacional u está entre 75,11 e 79,21.
Em outras palavras, acreditamos que o valor médio de compra da população se encontra nesse intervalo com 95% de confiança.
Modelo Computacional¶
bootstrap
# Remostragem bootstrap
def bootstrap_resample(X):
# amostra bootstrap do mesmo tamanho de X
return np.random.choice(X, size=len(X), replace=True)
# Distribução
dist_boot = []
# Obtenção da distribuição bootstrap
for _ in range(10_000):
# Reamostragem
X_boot = bootstrap_resample(X)
# Estatística de interese
dist_boot.append(X_boot.mean())
dist_boot = np.array(dist_boot)
# Erro Padrão
SE = dist_boot.std(ddof=1)
print(f"SE = {np.round(SE, 2)}")
SE = 1.03
# Intervalo de confiança
x0 = np.quantile(dist_boot, (1 - gama)/2)
x1 = np.quantile(dist_boot, 1 - (1 - gama)/2)
print(f"IC = [{np.round(x0, 2)}, {np.round(x1, 2)}]")
IC = [75.12, 79.18]
7. O valor médio de compra (score) de todos os clientes é maior que R$ 70?¶
Hipóteses do Teste
- H₀ (Hipótese nula): O valor médio de compra não é maior que 70 reais. A média observada pode ser explicada apenas pela variabilidade amostral (isto é, pelo acaso na seleção da amostra).
- H₁ (Hipótese alternativa): O valor médio de compra é maior que 70 reais.
Notação formal:
- H₀: u = uo | (uo = 70)
- H₁: u > uo
Modelo Paramétrico¶
# Nível de significância do teste
alpha = .05
print(f"alpha = {np.round(alpha, 2)}")
alpha = 0.05
# Distribuição sob H0
# - Supondo uma população com uo = 70
# - Com variância estimada igual a variancia amostral
# Quando o tamanho da amostra é grande, o Teorema Central do Limite permite aproximar a distribuição da média amostral por uma normal.
# No entanto, como a variância populacional é desconhecida, usamos a variância amostral como estimativa.
# Isso introduz variabilidade adicional na estatística de teste, razão pela qual usamos a distribuição t de Student em vez da normal padrão.
# u0
uo = 70
print(f"uo = {np.round(uo, 2)}")
# Erro Padrão
SE = np.sqrt((s**2)/n)
print(f"SE = {np.round(SE, 2)}")
# Obtenção do t_obs
t_obs = (x_obs - uo)/SE
print(f"t_obs = {np.round(t_obs, 2)}")
# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
# P(t >= t_obs)
p_value = 1 - t.cdf(t_obs, df)
# Decisão
if p_value < alpha:
print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")
uo = 70 SE = 1.04 t_obs = 6.9 p-valor = 0.00 < α = 0.05 → Rejeitamos H0
Conclusão
- Ao nível de significância de 5% — ou seja, assumindo um risco de 5% de rejeitar incorretamente a hipótese nula —, encontramos evidência estatística suficiente para rejeitar H₀ em favor de H₁.
Dessa forma, concluímos que o valor médio de compra é superior a 70 reais.
Modelo Computacional¶
Aqui podemos utilizar o bootstrap para criar a distribuição sob $H_0$, ou seja, gerar uma distribuição amostral da média a partir de uma população com $u = 70$, por meio da reamostragem com reposição de uma amostra inicial simulada de tamanho $n$ cuja média amostral ($x_{\text{amostral}}$) é igual a $70$.
# Criando amostra simulada com x_amostral = 70
X = base.loc[base["evento"] == 1, "score"].values
X_sim = X - X.mean() + 70
# Distribuição sob Ho
dist_boot = []
# Obtenção da distribuição bootstrap
for _ in range(10_000):
# Reamostragem
X_boot = bootstrap_resample(X_sim)
# Estatística de interese
dist_boot.append(X_boot.mean())
dist_boot = np.array(dist_boot)
# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
p_value = (dist_boot >= x_obs).mean()
# Decisão
if p_value < alpha:
print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")
p-valor = 0.00 < α = 0.05 → Rejeitamos H0
8. Construa um intervalo de confiança de 95% para estimar a diferença no valor médio de compra entre os grupos B e D.¶
Modelo Paramétrico¶
# Grupo B: Teve cupom de desconto
# Variável observada: Somente clientes que realizaram alguma compra
XB = base.loc[(base["evento"] == 1) & (base["grupo"] == "B"), "score"].values
# Tamanho da amostra
nB = XB.shape[0]
# Média amostral observada
xB_obs = XB.mean()
# Desvio padrão amostral
sB = XB.std(ddof=1)
print(f"nB = {nB}")
print(f"xB_obs = {np.round(xB_obs, 2)}")
print(f"sB = {np.round(sB, 2)}")
nB = 47 xB_obs = 76.52 sB = 11.93
# Grupo D: Teve cupom de desconto
# Variável observada: Somente clientes que realizaram alguma compra
XD = base.loc[(base["evento"] == 1) & (base["grupo"] == "D"), "score"].values
# Tamanho da amostra
nD = XD.shape[0]
# Média amostral observada
xD_obs = XD.mean()
# Desvio padrão amostral
sD = XD.std(ddof=1)
print(f"nD = {nD}")
print(f"xD_obs = {np.round(pD_obs, 2)}")
print(f"sD = {np.round(sD, 2)}")
nD = 46 xD_obs = 0.61 sD = 11.28
# Diferença observada
diff_B_D_obs = xB_obs - xD_obs
print(f"diff_B_D_obs = {np.round(diff_B_D_obs, 2)}")
diff_B_D_obs = -6.78
# Quando o tamanho da amostra é grande, o Teorema Central do Limite permite aproximar a distribuição da média amostral por uma normal.
# No entanto, como a variância populacional é desconhecida, usamos a variância amostral como estimativa.
# Isso introduz variabilidade adicional na estatística de teste, razão pela qual usamos a distribuição t de Student em vez da normal padrão.
# Erro Padrão
SE = np.sqrt((sB**2)/nB + (sD**2)/nD)
print(f"SE = {np.round(SE, 2)}")
# Obtenção do tc
gama = .95
q = (1- gama)/2 + gama
df = (((sB**2)/nB + (sD**2)/nD)**2)/((((sB**2)/nB)**2)/(nB - 1) + (((sD**2)/nD)**2)/(nD - 1))
tc = t.ppf(df = df, q=q)
print(f"tc = {np.round(tc, 2)}")
# Intervalo de confiança
d0 = diff_B_D_obs - tc*SE
d1 = diff_B_D_obs + tc*SE
print(f"IC = [{np.round(d0, 2)}, {np.round(d1, 2)}]")
print(f"IC = {np.round(diff_B_D_obs, 2)} +- {np.round(tc, 2)} * {np.round(SE, 2)}")
SE = 2.41 tc = 1.99 IC = [-11.56, -2.0] IC = -6.78 +- 1.99 * 2.41
Conclusão
- Com 95% de confiança, estimamos que a diferença média no valor de compra entre os grupos B e D está entre −11,56 e −2,00.
- Em outras palavras, acreditamos que os clientes do grupo B gastam, em média, entre 2 e 11,56 unidades a menos do que os do grupo D.
Modelo Computacional¶
bootstrap
# Distribução
dist_boot = []
# Obtenção da distribuição bootstrap
for _ in range(10_000):
# Reamostragem
XB_boot = bootstrap_resample(XB)
XD_boot = bootstrap_resample(XD)
# Estatística de interese
dist_boot.append(XB_boot.mean() - XD_boot.mean())
dist_boot = np.array(dist_boot)
# Erro Padrão
SE = dist_boot.std(ddof=1)
print(f"SE = {np.round(SE, 2)}")
SE = 2.4
# Intervalo de confiança
d0 = np.quantile(dist_boot, (1 - gama)/2)
d1 = np.quantile(dist_boot, 1 - (1 - gama)/2)
print(f"IC = [{np.round(d0, 3)}, {np.round(d1, 3)}]")
IC = [-11.478, -2.08]
9. Podemos afirmar que o grupo D gerou um valor médio de compra diferente do que o grupo B?¶
Hipóteses do Teste
- H₀ (Hipótese nula): Não há diferença no valor médio de compra entre os grupos B e D. Qualquer diferença observada pode ser explicada apenas pela variabilidade amostral (isto é, pelo acaso na seleção da amostra).
- H₁ (Hipótese alternativa): Há diferença no valor médio de compra entre os grupos B e D.
Notação formal:
- H₀: uB - uD = do | (do = 0)
- H₁: uB - uD != do
Modelo Paramétrico¶
# Nível de significância do teste
alpha = .05
print(f"alpha = {np.round(alpha, 2)}")
alpha = 0.05
# Distribuição sob H0
# - Supondo uma população com uB - uD = do = 0
# - Com variância estimada sB**2/nB + sD**2/nD
# Quando o tamanho da amostra é grande, o Teorema Central do Limite permite aproximar a distribuição da diferença da média amostral por uma normal.
# No entanto, como a variância populacional é desconhecida, usamos a variância amostral como estimativa.
# Isso introduz variabilidade adicional na estatística de teste, razão pela qual usamos a distribuição t de Student em vez da normal padrão.
# do
do = 0
print(f"do = {np.round(do, 2)}")
# Erro Padrão
SE = np.sqrt((sB**2)/nB + (sD**2)/nD)
print(f"SE = {np.round(SE, 2)}")
# Obtenção do t_obs
t_obs = diff_B_D_obs/SE
print(f"t_obs = {np.round(t_obs, 2)}")
# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
# P(t >= t_obs)
df = (((sB**2)/nB + (sD**2)/nD)**2)/((((sB**2)/nB)**2)/(nB - 1) + (((sD**2)/nD)**2)/(nD - 1))
p_value = t.cdf(t_obs, df)*2
# Decisão
if p_value < alpha:
print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")
do = 0 SE = 2.41 t_obs = -2.82 p-valor = 0.01 < α = 0.05 → Rejeitamos H0
p_value
0.005967074363250487
Conclusão
- Ao nível de significância de 5% — ou seja, assumindo um risco de 5% de rejeitar incorretamente a hipótese nula —, encontramos evidência estatística suficiente para rejeitar H₀ em favor de H₁.
- Dessa forma, concluímos que há diferença significativa no valor médio de compra entre os grupos B e D.
Modelo Computacional¶
Aqui podemos utilizar uma técnica computacional chamada Randomization Test para construir uma distribuição amostral das diferenças das médias entre os grupos B e D, sob a condição de $H_{0}$ verdadeiro.
Sob $H_{0}$ verdadeiro, assumimos que tanto B quanto D provêm da mesma população, ou seja, não há diferença na média obtida nesses dois grupos.
Uma forma de simular esse cenário é: a partir da amostra original de B e D, embaralhar todos os elementos e, supondo que não há diferença entre os grupos, selecionar sem reposição e de forma aleatória um pseudo-grupo B e um pseudo-grupo D. Em seguida, calcular a estatística de interesse para esses pseudo-grupos.
Repetindo esse processo muitas vezes, obtemos uma distribuição da estatística sob $H_{0}$.
c = ((base["grupo"] == "B") | (base["grupo"] == "D")) * (base["evento"] == 1)
data = base.loc[c, ["score", "grupo"]].reset_index(drop=True)
X = data["grupo"].values
Y = data["score"].values
# Distribuição sob Ho
dist_rand_test = []
# Obtenção da distribuição bootstrap
for _ in range(10_000):
# Reamostragem
shuffled_data = randomization_resample(X, Y)
# Estatística de interese
dist_rand_test.append(
shuffled_data.loc[shuffled_data["X"] == "B", "Y"].mean()
-
shuffled_data.loc[shuffled_data["X"] == "D", "Y"].mean()
)
dist_rand_test = np.array(dist_rand_test)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0) C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. shuffled_data = pd.concat([shuffled_data, aux], axis=0)
# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
p_value = (np.abs(dist_rand_test) >= np.abs(diff_B_D_obs)).mean()
# Decisão
if p_value < alpha:
print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")
p-valor = 0.01 < α = 0.05 → Rejeitamos H0
p_value
0.0069